Automatic transition of content based on facial recognition

ABSTRACT

Methods and systems for automatically transitioning content based on facial recognition, wherein the method may include receiving a signal from a camera, identifying a face of a viewer within an area, retrieving a user identifier associated with the face of the viewer, selecting a program, and displaying the program.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No.16/017,517, filed Jun. 25, 2018, which is a continuation of U.S. patentapplication Ser. No. 15/700,434, filed Sep. 11, 2017, which is acontinuation of U.S. patent application Ser. No. 15/369,439, filed Dec.5, 2016, which is a continuation of U.S. patent application Ser. No.14/932,706, filed Nov. 4, 2015, which is a continuation of U.S. patentapplication Ser. No. 14/595,762, filed Jan. 13, 2015, which is acontinuation of U.S. patent application Ser. No. 13/602,914, filed Sep.4, 2012, each of which is hereby incorporated by reference herein in itsentirety.

BACKGROUND

The present disclosure relates generally to systems and methods forproviding content for display and more particularly, to automaticallytransitioning content based on facial recognition.

SUMMARY

In one implementation, in general, a computer-implemented method mayinclude receiving a signal from a camera. The method may also includeidentifying a face of a viewer within an area. The method may furtherinclude retrieving a user identifier associated with the face of theviewer. The method may also include selecting a program from a pluralityof programs based on the user identifier. The method may includedisplaying the program.

In another implementation, in general, a system for selecting a programfor playback based on facial recognition of a viewer may include acamera configured to capture an image of an area. The system may alsoinclude a processing circuit. The processing circuit may be configuredto receive a signal from the camera. The processing circuit may also beconfigured to identify a face of a viewer within the area. Theprocessing circuit may be configured to retrieve a user identifierassociated with the face of the viewer. The processing may be configuredto select a program from a plurality of programs based on the useridentifier. The processing circuit may also be configured to display theprogram.

BRIEF DESCRIPTION OF THE DRAWINGS

The details of one or more implementations of the subject matterdescribed in this specification are set forth in the accompanyingdrawings and the description below. Other features, aspects, andadvantages of the subject matter will become apparent from thedescription, the drawings, and the claims.

FIG. 1 is an example of a block diagram of a computer system inaccordance with a described implementation;

FIGS. 2A-2C are examples of an illustration of transitioning contentbased on facial recognition of the user in accordance with a describedimplementation;

FIGS. 3A and 3B are examples of an illustration of a plurality ofviewers of content in accordance with a described implementation;

FIGS. 4A and 4B are examples of an illustration of devices in closeproximity in accordance with a described implementation;

FIG. 5 is an example of a single user system in accordance with adescribed implementation;

FIG. 6 is an example of a multiple user system in accordance with adescribed implementation;

FIG. 7 is an example of a flow diagram of a method in accordance with adescribed implementation;

FIG. 8 is an example of a system of the method in accordance with adescribed implementation; and

FIG. 9 is an example of the processing circuit as shown in FIG. 8.

Like reference numbers and designations in the various drawings indicatelike elements.

DETAILED DESCRIPTION

Content is available in many locations and on a variety of devices. Insome implementations, content is delivered through cloud-basedapplications, such as a web browser, mobile application, light weightdesktop, and so forth. With the proliferation of content and deliverychannels, it may be expensive to consume content on a number of devices,e.g., the setup of each device to receive the content may be unduly andtime consuming.

For example, the user may be half way through an online movie rental ona television in one room, but may want to continue the movie in anotherroom. Typically, the user has to turn on the television in the room thatthe user wants to view the content. The user also has to navigatethrough an interface in order to locate the content. The user may berequired to authenticate the new device and/or provide login credentialsto a service. The user may also have to find the location within thecontent that the user had stopped watching. Then, the user can continueviewing the content.

The system described herein may record a session identifier, a useridentifier, and other relevant information to associate with facialrecognition data. In some implementations, instead of playing thecontent, the system may tune to the channel that the user was previouslyviewing on a different device. The system may not require user action toprovide the content.

The system allows content to follow the user. The system may be based onimage recognition with a camera mounted on devices. The system may usefacial recognition to identify the user and to seamlessly transition thecontent from one device to another.

Heuristics may be used to identify collisions, such as when two or morepeople are present. The system may detect and recognize one or multiplefaces watching the same device and associate additional informationrelated to the current program played on the device. The information maybe used to create a seamless experience while changing between differentdevices. The detection and recognition may be based on computer visionalgorithms (e.g., Eigenfaces, Principal Component Analysis, Fisherfaces,etc.). Similarly, the additional data associated to each face mayinclude content information related to the program being watched.Additional data may include, but is not limited to, source information,availability, price, language, etc.

In an example, the user may be viewing content on a device while in thekitchen. The camera on the device in the kitchen may be tracking theuser while s/he is preparing snacks. When the user enters the livingroom, the camera on the device in the living room identifies the userand the system determines that the user is in the middle of watching theshow. If no one else is currently watching the device in the livingroom, the device may automatically start playing the content that thedevice in the kitchen was playing. The kitchen device may eventuallystop playing the content.

FIG. 1 is a block diagram of a computer system 100 in accordance with adescribed implementation. System 100 includes client 102, which maycommunicate with other computing devices via a network 106. For example,client 102 may communicate with one or more content sources ranging froma first content source 108 up to an nth content source 110. Contentsources 108, 110 may provide webpages and/or media content (e.g., audio,video, and other forms of digital content) to client 102. System 100 mayinclude a content selection server 104, which provides content to othercomputing devices over network 106.

Network 106 may be any form of computer network that relays informationbetween client 102, content selection server 104, and content sources108, 110. For example, network 106 may include the Internet and/or othertypes of data networks, such as a local area network (LAN), a wide areanetwork (WAN), a cellular network, satellite network, or other types ofdata networks. Network 106 may include any number of computing devices(e.g., computer, servers, routers, network switches, etc.) that areconfigured to receive and/or transmit data within network 106. Network106 may include any number of hardwired and/or wireless connections. Forexample, client 102 may communicate wirelessly (e.g., via WiFi,cellular, radio, etc.) with a transceiver that is hardwired (e.g., via afiber optic cable, a CAT5 cable, etc.) to other computing devices innetwork 106.

Client 102 may be any number of different user electronic devicesconfigured to communicate via network 106 (e.g., a laptop computer, adesktop computer, a tablet computer, a smartphone, a digital videorecorder, a set-top box for a television, a video game console, etc.).Client 102 is shown to include a processor 112 and a memory 114, i.e., aprocessing circuit. Memory 114 stores machine instructions that, whenexecuted by processor 112, cause processor 112 to perform one or more ofthe operations described herein. Processor 112 may include amicroprocessor, application-specific integrated circuit (ASIC),field-programmable gate array (FPGA), etc., or combinations thereof.Memory 114 may include, but is not limited to, electronic, optical,magnetic, or any other storage or transmission device capable ofproviding processor 112 with program instructions. Memory 114 mayinclude a floppy disk, CD-ROM, DVD, magnetic disk, memory chip, ASIC,FPGA, read-only memory (ROM), random-access memory (RAM),electrically-erasable ROM (EEPROM), erasable-programmable ROM (EPROM),flash memory, optical media, or any other suitable memory from whichprocessor 112 can read instructions. The instructions may include codefrom any suitable computer-programming language such as, but not limitedto, C, C++, C#, Java, JavaScript, Perl, Python and Visual Basic.

Client 102 may include one or more user interface devices. In general, auser interface device refers to any electronic device that conveys datato a user by generating sensory information (e.g., a visualization on adisplay, one or more sounds, etc.) and/or converts received sensoryinformation from a user into electronic signals (e.g., a keyboard, amouse, a pointing device, a touch screen display, a microphone, etc.).The one or more user interface devices may be internal to a housing ofclient 102 (e.g., a built-in display, microphone, etc.) or external tothe housing of client 102 (e.g., a monitor connected to client 102, aspeaker connected to client 102, etc.), according to variousimplementations. For example, client 102 may include an electronicdisplay 116, which visually displays webpages using webpage datareceived from content sources 108, 110 and/or from content selectionserver 104.

Content sources 108, 110 are electronic devices connected to network 106and provide media content to client 102. For example, content sources108, 110 may be computer servers (e.g., FTP servers, file sharingservers, web servers, etc.) or other devices that include a processingcircuit. Media content may include, but is not limited to, webpage data,a movie, a sound file, pictures, and other forms of data. Similarly,content selection server 104 may include a processing circuit includinga processor 120 and a memory 122. In some implementations, contentselection server 104 may include several computing devices (e.g., a datacenter, a network of servers, etc.). In such a case, the various devicesof content selection server 104 may comprise a processing circuit (e.g.,processor 120 represents the collective processors of the devices andmemory 122 represents the collective memories of the devices).

Content selection server 104 may provide content to client 102 vianetwork 106. For example, content source 108 may provide a webpage toclient 102, in response to receiving a request for a webpage from client102. In some implementations, content from content selection server 104may be provided to client 102 indirectly. For example, content source108 may receive content from content selection server 104 and use thecontent as part of the webpage data provided to client 102. In otherimplementations, content from content selection server 104 may beprovided to client 102 directly. For example, content source 108 mayprovide webpage data to client 102 that includes a command to retrievecontent from content selection server 104. On receipt of the webpagedata, client 102 may retrieve content from content selection server 104based on the command and display the content when the webpage isrendered on display 116.

The features disclosed herein may be implemented on a smart televisionmodule (or connected television module, hybrid television module, etc.),which may include a processing circuit configured to integrate internetconnectivity with more traditional television programming sources (e.g.,received via cable, satellite, over-the-air, or other signals). Thesmart television module may be physically incorporated into a televisionset or may include a separate device such as a set-top box, Blu-ray orother digital media player, game console, hotel television system, orother companion device. A smart television module may be configured toallow viewers to search and find videos, movies, photos and othercontent on the web, on a local cable TV channel, on a satellite TVchannel, or stored on a local hard drive. A set-top box (STB) or set-topunit (STU) may include an information appliance device that may containa tuner and connect to a television set and an external source ofsignal, turning the signal into content which is then displayed on thetelevision screen or other display device. A smart television module maybe configured to provide a home screen or top level screen includingicons for a plurality of different applications, such as a web browserand a plurality of streaming media services (e.g., Netflix, Vudu, Hulu,etc.), a connected cable or satellite media source, other web“channels”, etc. The smart television module may further be configuredto provide an electronic programming guide to the user. A companionapplication to the smart television module may be operable on a mobilecomputing device to provide additional information about availableprograms to a user, to allow the user to control the smart televisionmodule, etc. In alternate embodiments, the features may be implementedon a laptop computer or other personal computer, a smartphone, othermobile phone, handheld computer, a tablet PC, or other computing device.

FIGS. 2A-2C are examples of an illustration of transitioning contentbased on facial recognition of the user in accordance with a describedimplementation. In FIG. 2A, viewer 202 may view content 204 provided bydevice 206 a. As used herein, viewing may include visual, audio,tactile, or any other forms of interaction of a client device or viewerwith content. Content 204 may include, but is not limited to, articles,discussion threads, messages, music, video, graphics, search results,web pages, information/news feeds, etc. Content 204 may include manytypes of content, such as text, graphics, audio, video, tactile, orcombinations of these. Content 204 may be provided by devices 206 a, 206c.

Devices 206 a, 206 c may include all formats for providing content. Forexample, devices 206 a, 206 c may include monitors, screens, panels,speakers, etc. which may be integrated with or connected to a mobiledevice (e.g., smartphone), computer (e.g., laptop, desktop, workstation,tablet, etc.), personal digital assistant, television receiver, gameconsole, GPS device, etc.

Devices 206 a, 206 c may be located in a variety of places such as, butnot limited to, the viewer's person (e.g., smartphone), a viewer's room(e.g., viewer's bedroom), an outdoor public area (e.g., a public patio),an indoor public area (e.g., a tavern) or any other place that isappropriate for device 206.

Devices 206 a, 206 c may include component 210. Component 210 may havethe ability to reproduce an actual object, i.e., capture an image. Forexample, component 210 may be an imaging device such as a digitalcamera, digital movie camera, etc. Component 210 may be a stand-alonedevice or may be integrated with devices 206 a, 206 c, such as a webcam.Component 210 may include functionality to allow viewer 202 to entercontent to associate with an image. For example, component 210 maycapture the face of viewer 202 as an image and viewer 202 may want toassociate additional content with the image. For example, viewer 202 maydictate notes about the image or programming associated with the image.In another example, viewer 202 may also enter textual data to associatewith the image, such as date, time, location, etc.

Component 210 may store the image in any format that allows for imagedata, textual data, and any other appropriate data associated with theimage. Component 210 may be part of a larger system that may receive andcatalogue images, analyze and identify the images (e.g., distinguish oneviewer from another), search for information related to the image, etc.The system may include repositories, libraries, etc. to store images andrelated information. The data repositories may be implemented using avariety of data structures, such as a hash table, an array, a database,etc. In some implementations, the storage of the images and relatedinformation may be stored in a manner to protect any sensitiveinformation, which may be determined by viewer 202 or the system.

In some implementations, the images and related information may beencrypted for privacy reasons using an encryption technique (e.g.,asymmetric/symmetric key encryption, elliptic encryption, etc.) Viewer202 may determine what information the system may use, such as how theimage is used, whether to associate additional content with the image,etc.

In FIG. 2B, viewer 202 transitions away from device 206 a. For example,viewer 202 leaves a first room for another room. In someimplementations, viewer 202 may leave a first location for a secondlocation. Viewer 202 may transition from device 206 a, but transitionback to device 206 a. For example, viewer 202 may answer the telephone,component 210 detects that viewer 202 is no longer interacting withcontent 204, and once viewer 202 hangs up the telephone, component 210may automatically detect interaction by viewer 202 and begin playingcontent 204 at the time viewer 202 answered the telephone.

In FIG. 2C, viewer 202 completes the transition away from device 206. InFIG. 2C, viewer 202 arrives in a different location 208 than device 206a and a different device 206 b. However, in other implementations,viewer 202 may arrive at a different location, a different device, oranother appropriate transition that allows content 204 to alsotransition.

As illustrated by FIG. 2C, device 206 b begins to provide content 204 atthe interval of time that user 202 transitioned from device 206 a. Forexample, component 210 detected that viewer 202 was no longerinteracting with device 206 a. Component 210 may use image (e.g.,facial) recognition to identify that viewer 202 transitioned from device206 a to device 206 b. In some implementations, device 206 a and 206 bare the same device.

A delay may be introduced into the system for the viewer to transitionfrom one device to another. For example, viewer 202 may have to travelfrom device 206 a to device 206 b if the devices are not located in thesame location. A delay may account for the time to transition betweendevices 206 a, 206 b. The delay may be a fixed time delay based ondetection of viewer 202 by component 210. In an implementation with afixed time delay, the system may still account for additional breaks(such as going to another location, etc.) by the viewer.

If device 206 a loses detection of viewer 202, then device 206 a mayautomatically power off (e.g., power savings mode, turned off, etc.). Ifdevices 206 a, 206 b both lose detection of viewer 202, then devices 206a, 206 b may interrupt the play back of content 204. In this example, ifviewer 202 leaves either device 206 a, 206 b and returns at a latertime, then devices 206 a, 206 b may not continue the play back ofcontent 204, but may provide an option, to the user, to play backcontent 204, etc.

FIGS. 3A and 3B are examples of an illustration of a plurality ofviewers of content in accordance with a described implementation. InFIG. 3A, a plurality of viewers 202 a-202 c may be interacting withcontent 304 on device 306. Component 310 may capture viewers 202 a-202 cand store the images in a repository. The images of the plurality ofviewers may be subject to privacy controls. Privacy controls may includeencryption of the images of the plurality of viewers to anonymize theviewers, such as removing all personally identifiable information thatcan be linked to the specific image (face). In addition, the images maybe stored in a repository that regularly purges any sensitive ortraceable data related to the viewer.

Heuristics may be applied to identify when two or more viewers arepresent, as illustrated by viewers 202 a-202 c in FIG. 3A. Theheuristics may detect and recognize one or more of the multiple faceswatching device 306 and associate additional information related tocontent 304. For example, the information may be associated with theviewer by relating the information to a unique identifier. Theadditional information may be used to create the content transitionbetween different locations, different times, different devices, etc.For example, the system may detect multiple viewers and storeinformation related to the viewers in a database. The content maytransition for each of the multiple viewers.

In FIG. 3B, the plurality of viewers 202 a-c interacting with content304 has changed to viewers 202 b-d. The system may recognize the facesof viewers 202 b, 202 c and store the point in time of content 304 a inorder to transition to content 304 b. Viewers 202 b and 202 c wereinteracting with the same content 304 a so the system transitions tocontent 304 b. Although viewer 202 d joined viewers 202 b, 202 c,content 304 b remains with content 304 b based on the majority ofviewers. However, other techniques may be used to determine what content304 b device 306 b shows, e.g., a threshold, a time of day, etc. Ifviewer 202 c transitions away from content 304 b, then viewer 202 c maybe able to continue interacting with content 304 b on another device(e.g., smartphone, tablet, etc.).

FIGS. 4A and 4B are examples of an illustration of devices in closeproximity in accordance with a described implementation. In someimplementations, devices 406 a, 406 b may be in the same location, suchas the same room. In other implementations, as shown in FIGS. 4A and 4B,devices 406 a, 406 b are in adjacent locations. Therefore, a transitionmay be seamless between devices 406 a, 406 b. For example, devices 406a, 406 b may provide content 404 in sync for a specified amount of time.Once the transition is complete, then one of devices 406 a, 406 b mayautomatically power off (e.g., turn off, power-savings mode, etc.). Ifviewer 202 continues to transition between devices 406 a, 406 b, thenboth devices 406 a, 406 b may provide content 404 in sync.

FIG. 5 is an example 500 of a single user system in accordance with adescribed implementation, while FIG. 6 is an example 600 of a multipleuser system in accordance with a described implementation. The systemmay provide seamless continuous playback of content across multipledevices or modalities based on the facial recognition of the user. Thesystem may use temporary user information to follow the user from onedevice to another. The system may include a repository that stores useractivity. The system may also include multiple network-connected deviceswith facial recognition systems, as shown in FIG. 9. Each device mayreport temporary user viewing information to the repository. Thetemporary user viewing information may be used to facilitate theseamless continuous playback.

The system shown in FIGS. 5 and 6 may also include a table of currentsources/programs that may be viewed or have been viewed by a number ofusers. The table may be stored in an “Active Entity” table. The “activeentity” table may include user information, such as an email account,avatar, or another unique identifier that is generated by the system fora particular image. The unique identifier may be maintained in a centralrepository and may always be the same for the same face. The table mayalso include the entity source, such as DVR (digital video recording),URL, etc. The table may include an entity identifier, such as a TMSidentifier, or another identifier for the title, number, etc. of thecontent that is being viewed. The table may also include an interval oftime, such as the starting point, ending point, duration (e.g., the lasttime the user was detected viewing the content), etc.

The system may also maintain a repository of images, faces, userinformation, etc. The repository may be local, such as a facialrecognition database being local to the user's location (dwelling). Inother implementations, the repository may be global, such as a companymaintains the database.

In FIG. 5, an example 500 of a single user system is shown in accordancewith a described implementation. At 502, the user powers on the device,resumes the content, etc. The user may log into the device (such as aset top box) using an account, such as an email account.

At 504, the system verifies whether the user is recognized. If the faceis not recognized, then, at 506, the system obtains multiple images ofthe user to associate the account with the user's face.

If the face is recognized, then the set up of the account is completeand the user may begin viewing the content. The system recognizes theuser using facial recognition. At 508, the system may create an entryinto the active entity table using the content information, the useridentifier, the duration, etc. The duration may be continuously updatedby the system as long as the system recognizes the face. Once the userstops viewing the content, as detected by the system, then the durationis not updated. The system will keep the last time the user was detectedas viewing the content. In some implementations, if the user is detectedas viewing the content after an interval of time of not viewing thecontent, then the system may present a message (e.g., an overlaymessage), asking if the user would like to view the content from wherethe user was detected as not viewing or from where the current point isin the content regardless of the detection by the system.

At 510, a second device is powered on or content is resumed on thesecond device. The system may then monitor the content, at 512, on bothdevices and ask the user whether the user wants to continue viewing thecontent from the first device.

In FIG. 6, an example 600 of a multiple user system is shown inaccordance with a described implementation. The system may utilizevoting techniques when multiple users are present at the same time todetermine the content to be presented on the device.

At 602, the system verifies whether the image/face is recognized. Thesystem searches for the face at 604. If the system cannot find the face,then at 606, the system may idle for an interval of time, e.g., 5seconds, before it verifies whether the image/face is recognized. If theface is verified as a face, then the system determines at 608 if it is anew face. For example, the system may already have detected a first userviewing the content and at 608 determines whether a new face has beendetected viewing the content.

If the system determines that the image/face is new, then at 612, thesystem allocates an identifier to the new user and associates it withthe user's image/face. An entry is provided to the active entity tablewith the identifier, content identifier, etc. If the system determinesthat the image/face is not new, then at 610, the system updates theduration for all of the detected users. At 614, the system updates allinformation related to that user. Also, at 616, the new user is enteredinto the active entity table. The system may also detect when theuser(s) stops viewing the content, and stops updating the durationaccordingly.

If the user resumes viewing the content on another device, then thesystem detects the user's face, shows all active entries associated withthe user's identifier. For example, the active entries may be ordered,starting from most recently viewed content. The user selects whichcontent to view and the system may begin playing the selected content.If the other user finishes the content, the active table entryassociated with this user is removed from the table meaning the contentfor each user is updated independently even when the users are viewingthe same content.

FIG. 7 is an example of a flow diagram of a method in accordance with adescribed implementation. Method 700 may be performed in any order. Insome implementations, the steps of method 700 may be performed at thesame time. Method 700 may be performed online or offline. Method 700 maybe implanted in a variety of systems, such as the system described aboveand/or system 600 of FIG. 6.

At block 702 of method 700, a signal may be received by a camera. Insome implementations, the signal from the camera may include an image.In some implementations, location information may be extracted from theimage to determine location information to associate with the receivedimage. For example, the system may use the location information to buildin an appropriate time delay between devices.

The camera may include any device capable of capturing images including,but not limited to, a digital camera, a mobile computing device, alaptop computer, a video game console, a media player, etc. The signalfrom the camera may be provided to a server. The server may store thesignal as an image.

At block 704, a face of a viewer within an area is identified. The faceof the viewer may be identified from a plurality of viewers. Forexample, the device may include a number of different viewer profilesand the system may determine which viewer is appropriate. The face ofthe viewer may be compared with a stored image or the face of the viewermay be determined (e.g., detected and recognized) using a variety offacial recognition techniques. In an example, characteristics orassumptions about a face may be used by a facial recognition module toidentify a face of a viewer within an area.

The user position may be inferred relative to the camera and adetermination may be made as to whether the user is interacting with thecamera. The user position may include a facing direction of the userrelative to the camera. For example, the user may be near the camera,but may not be interacting with the device, such as reading a book,preparing dinner, etc. In some implementations, the viewer may set uppreferences to provide content regardless of any interaction with thecamera.

The area may include any dimension around the device. For example, thearea may include a predetermined region around the device, such as thelocation (room) of the device. The area may be predetermined by thesystem, e.g., the camera does a scan of the location where the device islocated. In other implementations, the area may be predetermined by theuser, e.g., the viewer sets the area for the camera to detect theviewer.

At block 706, a user identifier associated with the face of the vieweris retrieved. For example, a server may compare the face of the viewerto a stored user identifier. For example, the server may compare thereceived image of the viewer with a stored user identifier using variousfacial recognition techniques. The user identifier may be received fromthe device providing the content. The user identifier may also besynchronized across different devices in order for the system to quicklyidentify the viewer. In other implementations, the user identifier maybe retrieved by the system when the user logs into the system.

At block 708, a program from a plurality of programs is selected basedon the user identifier. The user identifier may also provide informationrelated to content that was previously being viewed. Based on facialrecognition, the system selects the program associated with theretrieved user identifier. In some implementations, based on facialrecognition, the system may query the user regarding certain attributesof a program to narrow down a selection of programs.

The user identifier may also provide information such as time of day(e.g., programs that are most likely to be watched at a certain time),favorite programs, frequently viewed programs, related programs orcontent, etc. for content suggestion. The user identifier may alsoinclude information such as web page content, music, books, etc., thatthe user has interacted with so that the system may select or recommenda program from a plurality of programs. The system may also provide anelectronic programming guide to the user based on the user identifier.For example, the user may want to visualize a set of programs, ratherthan have the system select a program. The user may select the programfrom, for example, a drop-down list of programs.

At block 710, the program is displayed. The program may be displayedupon a display area. The display area may include an interface that maybe operated by touch, voice, input devices, etc. In anotherimplementation, the displayed program may be provided to another devicebased on movement of the viewer. For example, if the viewer leaves thelocation of the device, powers on another device, etc., the program willbe displayed to the viewer at the location or the other device,respectively. In another implementation, the program may be stored in amemory along with an interval of time. The interval of time may includea segment of the program that is stopped or paused. For example, thesystem may be configured to retrieve the segment of time to determinewhere to begin the content if/when the viewer makes a transition toanother location, device, etc.

FIG. 8 is an example of a system of the method in accordance with adescribed implementation. In a brief overview, system 800 includes area802, camera 804, content 806, processing circuit 808 and display 810.

Area 802 includes the region of interest to detect the viewer. Forexample, the region of interest may include the room that the device isplaced. In another example, the region of interest may include theviewer's actual eyes, such as when the viewer is not interacting withthe content, although the content is playing.

Camera 804 includes the component used to detect the region of interest.Camera 804 also is used to capture the face of the viewer, e.g., withinthe region of interest, whether the viewer is interacting with thecontent, etc. Camera 804 may provide the image that has been captured toprocessing circuit 808.

Processing circuit 808 may include a processor and a memory for storingor retrieving the image and other related information from the device,such as a user identifier, cookie, device identifier, etc. Processingcircuit 808 may provide the information as content 806 to display 810.

FIG. 9 is an example of the processing circuit as shown in FIG. 8.Processing circuit may implement the features and operations describedin FIGS. 1-8. Other architectures are possible, including architectureswith more or fewer components. Processing circuit 808 may includeprocessor 902 and memory 904. Memory 904 may include facial recognitionmodule 906, display configuration module 908, delay configuration module910, transition module 912, user motion module 914, and supplementaldata module 916.

Processor 902 may process instructions for execution within the device,including instructions stored in memory 904, which may retrieveinformation from display configuration module 908 to display content onthe device.

Memory 904 may store information within the device. Memory 904 mayinclude a computer-readable memory. In another implementation, memory904 may include a non-volatile memory unit or volatile memory unit.

Facial recognition module 906 may communicate with an imaging unit toreceive an image of a user. Facial recognition module 906 may use avariety of facial recognition techniques to create a user, match theimage with a stored user, etc., by determining the coordinates of theface. The image along with the user identifier may be generated by thefacial recognition module 906 using a facial recognition algorithm, anoptical character recognition algorithm (for specifying the portion ofthe image to be extracted), etc.

Display configuration module 908 may retrieve information or contentfrom processor 902. Display configuration module 908 may be coupled to adisplay, which may include a thin-film transistor display, organic lightemitting diode display, or any other appropriate display configuration.Display configuration module 908 may include appropriate circuitry forproviding a display that present graphical, textual and other content toa user.

Delay configuration module 910 may be configured to provide a delaywithin the content to allow an effective transition from device todevice. Delay configuration module 910 may also be configured to provideuser with the ability to configure the device to delay the providing ofcontent. In some implementations, delay configuration module 910communicates with facial recognition module 906 to determine whendetection of the user has begun and when detection of the user has endedin order to implement the delay.

Transition module 912 may be configured to seamlessly transition thedisplay of content from one device to another. The transition may occurby any appropriate mechanism. For example, the transition of the displayof content from one device to another may occur by detection of theuser. In another example, the transition of the display of content fromone device to another may occur by the detection of powering on, off,etc. of the devices.

User motion module 914 may be integrated with facial recognition module906. For example, user motion module 914 may detect when the user moves,starts interacting with the content, etc. User motion module 914 mayprovide information to facial recognition module 906 to retrieveinformation related to the user.

Supplemental data module 916 may include information related to theuser, the device, the camera, etc. Supplemental data module 916 may beconfigured to enable processing circuit 808 to provide the appropriatecontent to the user at the device.

Implementations of the subject matter and the functional operationsdescribed in this specification can be implemented in other types ofdigital electronic circuitry, or in computer software, firmware, orhardware, including the structures disclosed in this specification andtheir structural equivalents, or in combinations of one or more of them.

Implementations of the subject matter and the operations described inthis specification can be implemented in digital electronic circuitry,or in computer software, firmware, or hardware, including the structuresdisclosed in this specification and their structural equivalents, or incombinations of one or more of them. The subject matter described inthis specification can be implemented as one or more computer programs,i.e., one or more modules of computer program instructions, encoded onone or more computer storage media for execution by, or to control theoperation of, data processing apparatus. Alternatively or in addition,the program instructions can be encoded on an artificially-generatedpropagated signal, e.g., a machine-generated electrical, optical, orelectromagnetic signal that is generated to encode information fortransmission to suitable receiver apparatus for execution by a dataprocessing apparatus. A computer storage medium can be, or be includedin, a computer-readable storage device, a computer-readable storagesubstrate, a random or serial access memory array or device, or acombination of one or more of them. Moreover, while a computer storagemedium is not a propagated signal, a computer storage medium can be asource or destination of computer program instructions encoded in anartificially-generated propagated signal. The computer storage mediumcan also be, or be included in, one or more separate components or media(e.g., multiple CDs, disks, or other storage devices). Accordingly, thecomputer storage medium is tangible.

The operations described in this specification can be performed by adata processing apparatus on data stored on one or morecomputer-readable storage devices or received from other sources.

The term “data processing apparatus” or “computing device” encompassesall kinds of apparatus, devices, and machines for processing data,including by way of example a programmable processor, a computer, asystem on a chip, or multiple ones, or combinations of the foregoing.The apparatus can include special purpose logic circuitry, e.g., an FPGA(field programmable gate array) or an ASIC (application-specificintegrated circuit). The apparatus can also include, in addition tohardware, code that creates an execution environment for the computerprogram in question, e.g., code that constitutes processor firmware, aprotocol stack, a database management system, an operating system, across-platform runtime environment, a virtual machine, or a combinationof one or more of them. The apparatus and execution environment canrealize various different computing model infrastructures, such as webservices, distributed computing and grid computing infrastructures.

A computer program (also known as a program, software, softwareapplication, script, or code) can be written in any form of programminglanguage, including compiled or interpreted languages, declarative orprocedural languages, and it can be deployed in any form, including as astand-alone program or as a module, component, subroutine, object, orother unit suitable for use in a computing environment. A computerprogram may, but need not, correspond to a file in a file system. Aprogram can be stored in a portion of a file that holds other programsor data (e.g., one or more scripts stored in a markup languagedocument), in a single file dedicated to the program in question, or inmultiple coordinated files (e.g., files that store one or more modules,sub-programs, or portions of code). A computer program can be deployedto be executed on one computer or on multiple computers that are locatedat one site or distributed across multiple sites and interconnected by acommunication network.

Processors suitable for the execution of a computer program include, byway of example, both general and special purpose microprocessors, andany one or more processors of any kind of digital computer. Generally, aprocessor will receive instructions and data from a read-only memory ora random access memory or both. The essential elements of a computer area processor for performing actions in accordance with instructions andone or more memory devices for storing instructions and data. Generally,a computer will also include, or be operatively coupled to receive datafrom or transfer data to, or both, one or more mass storage devices forstoring data, e.g., magnetic, magneto-optical disks, or optical disks.However, a computer need not have such devices. Moreover, a computer canbe embedded in another device, e.g., a mobile telephone, a personaldigital assistant (PDA), a mobile audio or video player, a game console,a Global Positioning System (GPS) receiver, or a portable storage device(e.g., a universal serial bus (USB) flash drive), to name just a few.Devices suitable for storing computer program instructions and datainclude all forms of non-volatile memory, media and memory devices,including by way of example semiconductor memory devices, e.g., EPROM,EEPROM, and flash memory devices; magnetic disks, e.g., internal harddisks or removable disks; magneto-optical disks; and CD-ROM and DVD-ROMdisks. The processor and the memory can be supplemented by, orincorporated in, special purpose logic circuitry.

To provide for interaction with a user, implementations of the subjectmatter described in this specification can be implemented on a computerhaving a display device, e.g., a CRT (cathode ray tube) or LCD (liquidcrystal display) monitor, for displaying information to the user and akeyboard and a pointing device, e.g., a mouse or a trackball, by whichthe user can provide input to the computer. Other kinds of devices canbe used to provide for interaction with a user as well; for example,feedback provided to the user can be any form of sensory feedback, e.g.,visual feedback, auditory feedback, or tactile feedback; and input fromthe user can be received in any form, including acoustic, speech, ortactile input.

While this specification contains many specific implementation details,these should not be construed as limitations on the scope of anyinventions or of what may be claimed, but rather as descriptions offeatures specific to particular implementations of particularinventions. Certain features described in this specification in thecontext of separate implementations can also be implemented incombination in a single implementation. Conversely, various featuresdescribed in the context of a single implementation can also beimplemented in multiple implementations separately or in any suitablesubcombination. Moreover, although features may be described above asacting in certain combinations and even initially claimed as such, oneor more features from a claimed combination can in some cases be excisedfrom the combination, and the claimed combination may be directed to asubcombination or variation of a subcombination.

Similarly, while operations are depicted in the drawings in a particularorder, this should not be understood as requiring that such operationsbe performed in the particular order shown or in sequential order, orthat all illustrated operations be performed, to achieve desirableresults. In certain circumstances, multitasking and parallel processingmay be advantageous. Moreover, the separation of various systemcomponents in the implementations described above should not beunderstood as requiring such separation in all implementations, and itshould be understood that the described program components and systemscan generally be integrated in a single software product or packagedinto multiple software products.

Thus, particular implementations of the subject matter have beendescribed. Other implementations are within the scope of the followingclaims. In some cases, the actions recited in the claims can beperformed in a different order and still achieve desirable results. Inaddition, the processes depicted in the accompanying figures do notnecessarily require the particular order shown, or sequential order, toachieve desirable results. In certain implementations, multitasking andparallel processing may be advantageous.

What is claimed is:
 1. A device for transitioning content, the device comprising: a memory; and a hardware processor of a media playback device that, when executing computer executable instructions stored in the memory, is configured to: receive a first signal that includes first image data associated with the media playback device; identify a first user based on the first signal; cause media content to be presented on the media playback device based on the identification of the first user; receive a second signal that includes second image data associated with the media playback device; determine that the first user has moved from the media playback device; and cause the media content to no longer be presented by the media playback device.
 2. The device of claim 1, further comprising an imaging device, wherein the first image data and the second image data is received from the imaging device.
 3. The device of claim 1, wherein the hardware processor is further configured to: identify the first user based on facial characteristics determined from the first image data; and associate the first user with an identifier based on the identification.
 4. The device of claim 1, wherein the hardware processor is further configured to: identify, based on the second signal, a second user based on facial characteristics determined from the second image data, wherein the second user has a relationship with the first user; and transition to the media content based on the second user being in the presence of the media playback device.
 5. The device of claim 4, wherein the hardware processor is further configured to associate notes about the second user that have been dictated from the first user.
 6. The device of claim 4, wherein the hardware processor is further configured to associate textual data about the second user that have been entered by the first user.
 7. The device of claim 1, wherein the hardware processor is further configured to: determine, from the received second signal, that the first user has moved from a first environment to a second environment during playback of the media content on the media playback device, wherein the media playback device is associated with the first environment; and cause the media content to be presented on another media playback device in response to determining that the first user has moved from the first environment to the second environment during the playback of the media content on the media playback device.
 8. The device of claim 1, wherein the hardware processor is further configured to: associate a time parameter of the media content that corresponds to the determination that the first user has moved from the media playback device; determine that the first user has moved back within a presence of the media playback device; and in response to the determination that the first user has moved back within the presence of the media playback device, cause the media content to resume being presented by the media playback device based on the associated time parameter.
 9. The device of claim 1, wherein the first user is identified based on the first signal further comprises accessing an active entity table that includes user account information for a facial image detected within the first image data.
 10. The device of claim 1, wherein a plurality of user profiles are associated with the media playback device and wherein the hardware processor is further configured to compare the first image data and the second image data with storage image data associated with each of the plurality of user profiles.
 11. A method for transitioning content, the method comprising: receiving, using a hardware processor of a media playback device, a first signal that includes first image data associated with the media playback device; identifying, using the hardware processor, a first user based on the first signal; causing, using the hardware processor, media content to be presented on the media playback device based on the identification of the first user; receiving, using the hardware processor, a second signal that includes second image data associated with the media playback device; determining, using the hardware processor, that the first user has moved from the media playback device; and causing, using the hardware processor, the media content to no longer be presented by the media playback device.
 12. The method of claim 11, wherein the first image data and the second image data is received from an imaging device.
 13. The method of claim 11, further comprising: identifying the first user based on facial characteristics determined from the first image data; and associating the first user with an identifier based on the identification.
 14. The method of claim 11, further comprising: identifying, based on the second signal, a second user based on facial characteristics determined from the second image data, wherein the second user has a relationship with the first user; and transitioning to the media content based on the second user being in the presence of the media playback device.
 15. The method of claim 14, further comprising associating notes about the second user that have been dictated from the first user.
 16. The method of claim 14, further comprising associating textual data about the second user that have been entered by the first user.
 17. The method of claim 11, further comprising: determining, from the received second signal, that the first user has moved from a first environment to a second environment during playback of the media content on the media playback device, wherein the media playback device is associated with the first environment; and causing the media content to be presented on another media playback device in response to determining that the first user has moved from the first environment to the second environment during the playback of the media content on the media playback device.
 18. The method of claim 11, further comprising: associating a time parameter of the media content that corresponds to the determination that the first user has moved from the media playback device; determining that the first user has moved back within a presence of the media playback device; and in response to the determination that the first user has moved back within the presence of the media playback device, causing the media content to resume being presented by the media playback device based on the associated time parameter.
 19. The method of claim 11, wherein the first user is identified based on the first signal further comprises accessing an active entity table that includes user account information for a facial image detected within the first image data.
 20. The method of claim 11, wherein a plurality of user profiles are associated with the media playback device and wherein the method further comprises comparing the first image data and the second image data with storage image data associated with each of the plurality of user profiles.
 21. A non-transitory computer-readable medium containing computer-executable instructions that, when executed by a processor, cause the processor to perform a method for transitioning content, the method comprising: receiving a first signal that includes first image data associated with a media playback device; identifying a first user based on the first signal; causing media content to be presented on the media playback device based on the identification of the first user; receiving a second signal that includes second image data associated with the media playback device; determining that the first user has moved from the media playback device; and causing the media content to no longer be presented by the media playback device. 